This paper explores how large language models make decisions during reasoning. It demonstrates that these models often encode their choices before generating text, influencing their subsequent thought processes. The research shows that altering initial decisions can change reasoning outcomes significantly.

This article breaks down the importance of focusing on meaningful activation metrics for subscription apps rather than generic metrics like signups or onboarding completion. It explains how to identify metrics that predict user retention and monetization and emphasizes the distinction between initial value and core value in user engagement.

This article explains how combining multiple onboarding patterns can confuse users and reduce activation rates. Instead of helping, stacking patterns creates conflicting instructions and cognitive overload. The author advocates for using a single onboarding pattern at a time to enhance user experience.

The article emphasizes the importance of demonstrating a product's value within the first minute of use. Users want quick reassurance that the product is relevant and can help them succeed, rather than a deep understanding or mastery of features. It highlights examples from companies like Duolingo and Miro that effectively engage users early on.

The author reflects on their struggles with reactivation experiments at Buffer after a lapse in writing, highlighting the challenges of achieving meaningful results from these efforts. Despite running various tests aimed at reactivating dormant users, the outcomes were mostly neutral, leading to a shift in focus towards activation strategies that proved more effective in fostering user engagement.